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Datasets for residential GSHP analysis by climate in the United States
This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708925/ https://www.ncbi.nlm.nih.gov/pubmed/33304947 http://dx.doi.org/10.1016/j.dib.2020.106523 |
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author | Neves, Rebecca Cho, Heejin Zhang, Jian |
author_facet | Neves, Rebecca Cho, Heejin Zhang, Jian |
author_sort | Neves, Rebecca |
collection | PubMed |
description | This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days (HDD) and relative humidity were gathered from historical weather data for 12 cities across the contiguous United States [1], [2]. Geothermal heat pump coefficients were generated as inputs to EnergyPlus™ simulation software. These heat pump coefficients are generated by compiling heat pump performance data from 5 market leading, high efficiency residential geothermal heat pump manufacturers. These coefficients can be used to represent a general, market available heat pump in 2-ton, 3-ton, and 4-ton capacities. Baseline prototype home energy use by city was generated by EnergyPlus™ using the prototype home download file from www.energy.gov and the respective weather file for that city. This data can be interpreted as energy use per month by certain HVAC components. The ground source heat pump (GSHP) home energy use by city was generated from EnergyPlus™ and the respective city weather file. The GSHP model was created by the authors to model the alternate closed loop, GSHP system. Reuse potential for heat pump coefficients and home energy use analysis is strong. |
format | Online Article Text |
id | pubmed-7708925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77089252020-12-09 Datasets for residential GSHP analysis by climate in the United States Neves, Rebecca Cho, Heejin Zhang, Jian Data Brief Data Article This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days (HDD) and relative humidity were gathered from historical weather data for 12 cities across the contiguous United States [1], [2]. Geothermal heat pump coefficients were generated as inputs to EnergyPlus™ simulation software. These heat pump coefficients are generated by compiling heat pump performance data from 5 market leading, high efficiency residential geothermal heat pump manufacturers. These coefficients can be used to represent a general, market available heat pump in 2-ton, 3-ton, and 4-ton capacities. Baseline prototype home energy use by city was generated by EnergyPlus™ using the prototype home download file from www.energy.gov and the respective weather file for that city. This data can be interpreted as energy use per month by certain HVAC components. The ground source heat pump (GSHP) home energy use by city was generated from EnergyPlus™ and the respective city weather file. The GSHP model was created by the authors to model the alternate closed loop, GSHP system. Reuse potential for heat pump coefficients and home energy use analysis is strong. Elsevier 2020-11-14 /pmc/articles/PMC7708925/ /pubmed/33304947 http://dx.doi.org/10.1016/j.dib.2020.106523 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Neves, Rebecca Cho, Heejin Zhang, Jian Datasets for residential GSHP analysis by climate in the United States |
title | Datasets for residential GSHP analysis by climate in the United States |
title_full | Datasets for residential GSHP analysis by climate in the United States |
title_fullStr | Datasets for residential GSHP analysis by climate in the United States |
title_full_unstemmed | Datasets for residential GSHP analysis by climate in the United States |
title_short | Datasets for residential GSHP analysis by climate in the United States |
title_sort | datasets for residential gshp analysis by climate in the united states |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708925/ https://www.ncbi.nlm.nih.gov/pubmed/33304947 http://dx.doi.org/10.1016/j.dib.2020.106523 |
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